Optimal material distribution decisions based on epidemic diffusion rule and stochastic latent period for emergency rescue

Demand of emergency materials is usually uncertain and varies quickly as the latent period changes. With the consideration of the delay caused by the latent period of an epidemic, we construct a multi-objective stochastic programming model with time-varying demand for the emergency logistics network based on the epidemic diffusion rule. The genetic algorithm coupled with Monte Carlo simulation is adopted to solve the optimisation model, and the application of the model as well as a sensitivity analysis of the latent period is given by a numerical example.